---
title: "Dense Slides: Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs"
category: "slides"
video_id: "APh1Vx0oLmQ"
sourceLabels: ["Captured video frames", "Local OpenCV slide-region detection"]
---

# Dense Slides: Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs

## Source Video
[Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs](https://www.youtube.com/watch?v=APh1Vx0oLmQ)

## Method
This deck is slide-only. The existing captured video frame set supplies candidate frames, then local OpenCV rejects sponsor/title/speaker-only frames, crops visible slide surfaces, deduplicates, and saves the cropped slide images.

## Cropped Visible Slides
![[assets/dense-slides/APh1Vx0oLmQ/slide-001.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-001.html)
- AI slide classifier: `title_card` confidence `0.99`
- Text source: agent_vision.

Slide text:

> BUILDING DETERMINISTIC INFRASTRUCTURE FOR NON-DETERMINISTIC AI AGENTS
> THE EMERGING CONTROL PLANE FOR AUTONOMOUS AI SYSTEMS
> Nishant Gupta
> Tech Lead @ Meta

![[assets/dense-slides/APh1Vx0oLmQ/slide-002.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-002.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: none.
- OCR decision: ready — Dense multi-column comparison slide with small text labels.
![[assets/dense-slides/APh1Vx0oLmQ/slide-003.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-003.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: none.
- OCR decision: ready — Architecture slide with layered diagram and small labels.
![[assets/dense-slides/APh1Vx0oLmQ/slide-004.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-004.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: none.
- OCR decision: ready — Dense failure-tree diagram with many labels.
![[assets/dense-slides/APh1Vx0oLmQ/slide-005.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-005.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: none.
- OCR decision: ready — Process diagram with step chain and chart labels.
![[assets/dense-slides/APh1Vx0oLmQ/slide-006.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-006.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: none.
- OCR decision: ready — System architecture slide with labeled control boundary and filters.
![[assets/dense-slides/APh1Vx0oLmQ/slide-007.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-007.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: none.
- OCR decision: ready — Dense control-plane architecture slide with multiple labeled subsystems.
![[assets/dense-slides/APh1Vx0oLmQ/slide-008.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-008.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: none.
- OCR decision: ready — Timeline and observability slide with dense track labels.
![[assets/dense-slides/APh1Vx0oLmQ/slide-009.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-009.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: none.
- OCR decision: ready — Diagram slide with multiple labels and small state text; OCR will likely read the embedded annotations more reliably than a quick visual pass.
![[assets/dense-slides/APh1Vx0oLmQ/slide-010.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-010.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: none.
- OCR decision: ready — Routing diagram with several labels and smaller annotations; OCR is appropriate for the node labels and path text.
![[assets/dense-slides/APh1Vx0oLmQ/slide-011.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-011.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: none.
- OCR decision: ready — Chart slide with axis text, labels, and small annotations; OCR is the right capture method for the graph text.
![[assets/dense-slides/APh1Vx0oLmQ/slide-012.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-012.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.
- OCR decision: ready — Table-like mapping slide with multiple rows and small relational labels; OCR will capture the pairings more reliably than manual transcription here.

Slide text:

> The Reliability Rosetta Stone.

![[assets/dense-slides/APh1Vx0oLmQ/slide-013.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-013.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: none.
- OCR decision: ready — Chart/trajectory slide with several labels, dates, and axis annotations; OCR is better suited than manual reading for the full figure text.
![[assets/dense-slides/APh1Vx0oLmQ/slide-014.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/dense/APh1Vx0oLmQ/slide-014.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.
- OCR decision: ready — Dense slide with a quote panel and multiple takeaway bullets; OCR is appropriate for the smaller body text and sidebar copy.

Slide text:

> AI agents are distributed systems. Treat them accordingly.


Classification audit: `raw/sources/slide-ai-classification/dense/APh1Vx0oLmQ/audit.json`